A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly ...
The Cognitive Neuroscience Society presents the George A. Miller Award! to "recognize an individual whose distinguished research is at the cutting-edge of their discipline with realized or future potential, to revolutionize cognitive neuroscience."
Prof. Kanwisher has received the The Heineken Prize "for her highly original, meticulous and cogent research on the functional organization of the human brain” and will be presented at an award ceremony on Sept. 27, 2018, in Amsterdam.
AI advances by industry giants like Google and Tesla, are based on engineering and computation, and little work in humans. Algorithms behind this tech come out of neuroscience research, so one of the next breakthroughs will likely come from here as well.
This course explores the problem of intelligence-its nature, how it is produced by the brain and how it could be replicated in machines—using an approach that integrates cognitive science, neuroscience, computer science, and artificial intelligence.
“Ed’s body of work has already transformed neuroscience and biomedicine, and this chair will help his team to further develop revolutionary tools that will have a profound impact on research worldwide.” - Robert Desimone, Director McGovern Institute
Dr. Hermundstad discussed how the central visual system, operating with different goals and under different constraints, makes efficient use of resources to extract meaningful features from complex visual stimuli.
At a time of rapid advances in intelligence research across many disciplines, this initiative will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known.